Machine Learning, Deep Learning, Big Data, and Internet of Things for Healthcare

This book explores how emerging technologies like machine learning, deep learning, big data, and IoT are transforming healthcare by making it more efficient and effective. It provides case studies and insights into various applications of these technologies, such as e-monitoring, disease diagnosis, and remote monitoring.

Format: Hardback
Length: 172 pages
Publication date: 25 August 2022
Publisher: Taylor & Francis Ltd

This captivating book delves into the realm of cutting-edge technologies, specifically focusing on their transformative impact on healthcare. It explores the emerging concept of healthcare, emphasizing the role of high-precision algorithms in enhancing efficiency and effectiveness. The driving force behind this technological revolution is machine learning, deep learning, big data, and the Internet of Things (IoT). These advanced scientific fields empower machines to learn and adapt without strict programming, enabling them to unravel, quantify, and understand data-intensive processes within healthcare operational environments.

The book provides a comprehensive exploration of various essential topics, encompassing:

Introduction to e-monitoring for healthcare: This chapter introduces the concept of remote monitoring through electronic devices, enabling healthcare professionals to track and analyze patient data in real-time.

Case studies based on big data and healthcare: The book presents compelling case studies that showcase the practical applications of big data and healthcare. It highlights how data analysis can be used to identify patterns, predict outcomes, and optimize healthcare processes.

Intelligent learning analytics in healthcare sectors using machine learning and IoT: This chapter delves into the use of machine learning and IoT to analyze healthcare data and extract valuable insights. It discusses the techniques and algorithms employed for disease identification, diagnosis, and personalized treatment recommendations.

Identifying diseases and diagnosis using machine learning and IoT: The book explores how machine learning and IoT can be utilized to identify diseases and diagnose medical conditions. It discusses the use of wearable devices, sensors, and other IoT-enabled technologies to collect and analyze patient data, enabling early detection and intervention.

Deep learning architecture and framework for healthcare using IoT: This chapter discusses the architectural principles and frameworks for implementing deep learning in healthcare. It explores the use of IoT devices to collect and transmit data, as well as the techniques and algorithms employed for advanced machine learning tasks such as image recognition and natural language processing.

Knowledge discovery from big data of healthcare-related processing: This chapter explores the potential of big data to uncover valuable insights and knowledge from healthcare-related processing. It discusses the use of data mining, machine learning, and other advanced analytics techniques to analyze large datasets and extract meaningful patterns.

Big data and IoT in healthcare: This chapter examines the role of big data and IoT in healthcare. It discusses how these technologies can be leveraged to improve patient care, enhance medical research, and optimize healthcare operations.

Role of IoT in sustainable healthcare: This chapter explores the role of IoT in sustainable healthcare. It discusses how IoT devices can be used to monitor environmental parameters, reduce waste, and improve energy efficiency in healthcare facilities.

A heterogeneous IoT-based application for remote monitoring of physiological and environmental parameters: This chapter presents a case study of an IoT-based application for remote monitoring of physiological and environmental parameters. It discusses the design, implementation, and benefits of the application, which enables healthcare professionals to monitor patients remotely and provide timely interventions.

In conclusion, this book offers a comprehensive and insightful exploration of the latest technologies in healthcare, highlighting their transformative impact on efficiency, effectiveness, and patient care. It provides valuable insights into the role of machine learning, deep learning, big data, and IoT in driving innovation and improving healthcare outcomes. Whether you are a healthcare professional, researcher, or technology enthusiast, this book is a must-read for anyone interested in the future of healthcare.

Weight: 510g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032130828